01

Case File 01 · Healthcare

Returning clinician time with ambient documentation

Representative — regional health system

▸ ENGAGEMENT DETAILS

Representative scenario · benchmark-based

Specialized AgentMedAgent
IndustryHealthcare
Duration12 weeks
01Background

The Challenge

A representative regional health system operates more than 20 emergency departments, processing over 2 million patient visits annually.

Their triage process relied entirely on manual assessment, leading to inconsistent wait times averaging 47 minutes, misclassification of severity levels in 12% of cases, and staff burnout from repetitive intake procedures. During peak hours, patients with serious but non-obvious conditions were being deprioritized, leading to adverse outcomes.

02MedAgent · Multi-Agent Architecture

Our Agent Solution

We deployed MedAgent, our healthcare-specific AI agent system, customized for emergency department workflows. The system integrates with their existing Epic EHR to pull patient history in real-time while a multi-agent pipeline handles intake, triage scoring, and resource allocation simultaneously. Natural language processing agents extract symptoms from patient descriptions, while a diagnostic agent cross-references against clinical databases to assign accurate ESI (Emergency Severity Index) scores.

01 / 04

Intake Agent

Collects patient symptoms via structured interview and extracts key medical terms

Agent · Live
02 / 04

Triage Agent

Assigns ESI score using clinical decision rules and patient history from EHR

Agent · Live
03 / 04

Diagnostic Agent

Cross-references symptoms with medical databases for differential diagnosis support

Agent · Live
04 / 04

Documentation Agent

Auto-generates clinical notes and handoff summaries for care teams

Agent · Live
03Timeline

Implementation Timeline

A representative 12 weeks delivery path, from discovery to deployment.

01

Discovery & Assessment

Mapped ER workflows, identified bottlenecks, audited EHR integration points

Weeks 1-2

02

Architecture & Design

Designed multi-agent pipeline, defined ESI scoring logic, planned Epic integration

Weeks 3-4

03

Development & Testing

Built agent system, trained on 500K anonymized patient records, validated against physician assessments

Weeks 5-9

04

Pilot & Iteration

Deployed to 3 pilot EDs, collected feedback, refined scoring thresholds

Weeks 10-11

05

Full Deployment

Rolled out to all 23 EDs with monitoring dashboards and staff training

Weeks 12

04Impact

Results

Representative outcomes for this scenario, aligned to published industry benchmarks.

▸ OUTCOME

Less time on documentation

30%

▸ OUTCOME

Higher clinician satisfaction

82%

▸ OUTCOME

Time physicians spend in the EHR

49%

▸ OUTCOME

Of health spend that is administrative

25%

05Representative

A representative perspective

Our physicians spend less time in the chart and more with patients, and triage is more consistent across shifts — with every note still reviewed by a clinician.

CMO
Chief Medical Officer
Regional health system, Representative composite

▸ NEXT ENGAGEMENT

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